Proximity Detection Using EM Exposure Matching Against Relay Attacks
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Solution Overview
Problem
Existing proximity detection systems for vehicles and smartphones are vulnerable to relay attacks, which allow unauthorized access by simulating the presence of a legitimate device.
Innovation Solution
A method of proximity detection between two devices that involves collecting and comparing electromagnetic wave exposure information, such as radio wave fingerprints, to determine if the devices are in close proximity, thereby preventing relay attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional proximity detection methods are used, then the system is simple and easy to operate, but the system is vulnerable to relay attacks and security breaches
Solution Approach 1:
The patent introduces electromagnetic wave exposure information as an intermediary verification mechanism. Instead of directly trusting device-to-device communication, the system uses the electromagnetic environment (Wi-Fi, Bluetooth, cellular signals) as a mediator to indirectly verify physical proximity. This intermediary layer prevents relay attacks while maintaining operational simplicity.
Solution Approach 2:
The patent replaces traditional mechanical or direct wireless proximity detection with an electromagnetic field-based verification system. By substituting the direct detection mechanism with electromagnetic wave exposure analysis, the system achieves higher security without significantly increasing user-facing complexity.
2Reliability
If electromagnetic wave exposure comparison is implemented, then relay attacks are prevented, but the detection process becomes more complex
Solution Approach 1:
The patent leverages existing multi-functional electromagnetic wave receivers (Wi-Fi, Bluetooth, cellular) already present in smartphones and vehicles. By making these existing components serve the additional function of proximity verification through exposure comparison, the system achieves high detection accuracy without adding dedicated complex hardware or measurement mechanisms.
Solution Approach 2:
The system creates a digital fingerprint (copy) of the electromagnetic environment at each device location. By comparing these environmental copies rather than directly measuring physical distance, the system achieves accurate proximity detection while simplifying the measurement process to data comparison rather than complex physical sensing.
3Reliability
If simple proximity detection is used, then the system is easy to implement, but unauthorized access cannot be prevented
Solution Approach 1:
The system uses the devices' own existing electromagnetic wave reception capabilities to perform self-verification of proximity. Each device independently collects and analyzes its electromagnetic environment, then compares it with the other device's data. This self-service approach enhances security without requiring external verification infrastructure or complex manufacturing processes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution provides a robust and secure method for determining proximity between devices, effectively preventing unauthorized access and ensuring that both devices are physically close before allowing access.
Implementation Method 1
collecting a first information on exposure of the first device to electromagnetic waves; collecting a second information on exposure of the second device to electromagnetic waves
Data Source
AI summary
The method of proximity detection between a first and a second device (DVC1, DVC2), carried out by the first device (DVC1), comprises the steps of collecting a first information on exposure of the first device (DVC1) to electromagnetic waves; receiving a second information on exposure of the second device (DVC2) to electromagnetic waves from the second device (DVC2); determining a matching information between the first information on exposure and the second information on exposure and detecting either proximity or non-proximity between the first and the second device (DVC1, DVC2) based on the matching information.